OpenAI: o3 (batch)
Analysis Summary
o3 is an OpenAI model with text, image, and file input, a 200K context window, tool use, and function calling. These documented capabilities support technical analysis, long-document workflows, visual review, and agents that must take structured actions. The batch entry has no benchmark results, so its current reasoning and coding level should be confirmed through internal tests.
For an agency, it is a broad specialist candidate for software tasks, complex briefs, document-heavy research, and tool-connected client operations. The listed price of $1 per million input tokens and $4 per million output tokens is practical for targeted production use, though a cheaper model may be preferable for repetitive work. Multimodal input gives it wider workflow coverage than text-only reasoning models.
Adopt it for demanding workflows that need reasoning, tools, and visual or file context in one endpoint.
Assessed August 9, 2026
Editorial notes
o3 combines vision, file input, a 200K context window, tool use, and function calling for demanding technical and agentic workflows. Its $1 input and $4 output pricing is workable, though no benchmark data is supplied for this entry.
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DFO Verdict
o3 combines vision, file input, a 200K context window, tool use, and function calling for demanding technical and agentic workflows. Its $1 input and $4 output pricing is workable, though no benchmark data is supplied for this entry.
How OpenAI: o3 (batch) compares
Its 200K-token context window is larger than 55% of the models we list. At $1.00 per million input tokens it is cheaper than 27% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.00 | $0.001000 |
| Output | $4.00 | $0.004000 |
What would OpenAI: o3 (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o3 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o3 (batch)
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following..
Frequently asked questions about OpenAI: o3 (batch)
How much does OpenAI: o3 (batch) cost?
OpenAI: o3 (batch) costs $1.00 per million input tokens and $4.00 per million output tokens.
What is the context window of OpenAI: o3 (batch)?
OpenAI: o3 (batch) has a context window of 200,000 tokens (200K).
What can OpenAI: o3 (batch) do?
OpenAI: o3 (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: o3 (batch)?
OpenAI: o3 (batch) is developed by OpenAI and was released on April 16, 2025.